We provide a number of algorithms to estimate fundamental statistics including Fréchet mean and geometric median for manifold-valued data. Also, C++ header files are contained that implement elementary operations on manifolds such as Sphere, Grassmann, and others. See Bhattacharya and Bhattacharya (2012) <doi:10.1017/CBO9781139094764> if you are interested in statistics on manifolds, and Absil et al (2007, ISBN:9780691132983) on computational aspects of optimization on matrix manifolds.
Version: | 0.2.4 |
Depends: | R (≥ 3.0.0) |
Imports: | Rcpp, utils, Rdpack, parallel, stats, pracma |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2020-03-21 |
Author: | Kisung You [aut, cre] |
Maintainer: | Kisung You <kyoustat at gmail.com> |
BugReports: | http://github.com/kyoustat/RiemBase/issues |
License: | GPL-3 |
URL: | http://github.com/kyoustat/RiemBase |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | RiemBase results |
Reference manual: | RiemBase.pdf |
Package source: | RiemBase_0.2.4.tar.gz |
Windows binaries: | r-devel: RiemBase_0.2.4.zip, r-release: RiemBase_0.2.4.zip, r-oldrel: RiemBase_0.2.4.zip |
macOS binaries: | r-release: RiemBase_0.2.4.tgz, r-oldrel: RiemBase_0.2.4.tgz |
Old sources: | RiemBase archive |
Reverse imports: | RiemBaseExt, RiemGrassmann, RiemStiefel |
Reverse linking to: | RiemBaseExt, RiemGrassmann, RiemStiefel |
Please use the canonical form https://CRAN.R-project.org/package=RiemBase to link to this page.